AI Data Infrastructure Engineer | Equity & On-site London

Arctal, a London-based startup, is seeking a full-time in-office data engineer to own data wrangling end-to-end: ingestion, cleanup, storage, transformation and distribution of large financial datasets from PDFs. You'll architect a scalable data pipeline, integrate AI agents, and ensure data quality so that datasets inform millions of dollars in decisions.

3–5 years building data pipelines or ML systems preferred; you’ll ship in a small team.

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